Using twitter to better understand the spatiotemporal patterns of public sentiment: A case study in Massachusetts, USA

International Journal of Environmental Research and Public Health

Volumn 15, Issue 2, 2018, Pages

  Cao, Xiaodong ^a   Macnaughton, Piers ^a   Deng, Zhengyi ^a   Yin, Jie ^a   Zhang, Xi ^a,b   Allen, Joseph G ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Happiness; Land use; Sentiment analysis; Social media; Twitter

Indexed keywords

HOLISTIC APPROACH; LAND USE; MULTIVARIATE ANALYSIS; SOCIAL BEHAVIOR; SOCIAL MEDIA; SPATIOTEMPORAL ANALYSIS;

ARTICLE; CITY; HAPPINESS; HISTORY; HUMAN; LAND USE; MASSACHUSETTS; SOCIAL MEDIA; WELLBEING; ARTIFICIAL INTELLIGENCE; PUBLIC OPINION; SPATIOTEMPORAL ANALYSIS; TIME FACTOR;

MASSACHUSETTS; UNITED STATES;

ARTIFICIAL INTELLIGENCE; CITIES; HUMANS; MASSACHUSETTS; PUBLIC OPINION; SOCIAL MEDIA; SPATIO-TEMPORAL ANALYSIS; TIME FACTORS;

EID: 85041436524     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph15020250     Document Type: Article

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